Evidence mapPaperPMID 42348437Full record

ArticleeLife2026

Systematic characterisation of site-specific proline hydroxylation using hydrophilic interaction chromatography and mass spectrometry.

Hao Jiang, Jimena Druker, James W Wilson, Dalila Bensaddek, Jason R Swedlow, Sonia Rocha, Angus I Lamond

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hao Jiang *Division of Molecular, Cell and Developmental Biology, Faculty of Life Sciences, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0003-4123-4930
Jimena Druker *Division of Molecular, Cell and Developmental Biology, Faculty of Life Sciences, University of Dundee, Dundee, United Kingdom.
James W WilsonInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Dalila BensaddekBioscience Core Lab, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Jason R SwedlowDivision of Molecular, Cell and Developmental Biology, Faculty of Life Sciences, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0002-2198-1958
Sonia RochaInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-2413-4981
Angus I LamondDivision of Molecular, Cell and Developmental Biology, Faculty of Life Sciences, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0001-6204-6045

Funding

Biotechnology and Biological Sciences Research Council APP3732Biotechnology and Biological Sciences Research Council BB/V010948/1UK Research and Innovation EP/Y010655/1Wellcome Trust 10.35802/206293
6 · The paper itself

Abstract

We have developed a robust workflow to identify proline hydroxylation sites in proteins, combining hydrophilic interaction chromatography (HILIC) enrichment and high-resolution nano-liquid chromatography-mass spectrometry (LC-MS) with refining and filtering parameters during data analysis. Using this approach, we have combined data from cell lines treated with either the prolyl hydroxylase (PHD) inhibitor, Roxadustat (FG-4592), or with the proteasome inhibitor MG-132, or with a DMSO control, to identify a total of 4993 and 3247 proline hydroxylation sites, respectively, in HEK293 and RCC4 cells. Of these, 1954 (HEK293) and 1253 (RCC4) high-confidence non-collagen sites were inhibited by FG-4592. Hydroxylated peptides showed consistent characteristics across both datasets, including enrichment in more hydrophilic HILIC fractions and distinct charge and mass distributions compared to unmodified or oxidised peptides. The intensity of the diagnostic hydroxyproline immonium ion varied with MS collision energy, peptide concentration, and adjacent amino acid sequence. Using synthetic peptides, we demonstrate that combining LC retention time with optimised MS parameters enables reliable site identification, even with multiple proline residues present. Proteins with FG-4592-inhibited hydroxylation sites were enriched for roles in RNA metabolism, mRNA splicing, and cell cycle regulation, including the phosphatase 1 regulatory subunit Repo-Man (CDCA2).

Indexed as

Liquid Chromatography-Mass SpectrometryMass SpectrometryProlineChromatography, LiquidHEK293 CellsHumansHydrophobic and Hydrophilic InteractionsHydroxylationProlinebiochemistrycell biologychemical biologyHILIChumanmass spectrometryPHDsproline hydroxylationproteomicsPTM

Identifiers

PMID42348437
PMCPMC13299592

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.